Project-AgML/MoringaLeafNet_disease_classification

Moringa Leaf Disease Classification

A dataset for disease classification of moringa leaves. The dataset contains both the raw data, preprocessed, and augmented version. The preprocessed dataset has had backgrounds removed and image size scaled down.
The raw data and preprocessed dataset contains 2,817 images, distributed as

• Bacterial Leaf Spot: 857
• Cercospora Leaf Spot: 568
• Healthy: 597
• Yellow: 795

The augmented data contains 11,268 images, distributed as

• Bacterial Leaf Spot: 3428
• Cercospora Leaf Spot: 2272
• Healthy: 2388
• Yellow: 3180

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{preanto2025moringaleafnet,
  title={MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning research},
  author={Preanto, Sabit Ahamed and Paul, Tapon and Khan, Abid and Bijoy, Md Hasan Imam},
  journal={Data in Brief},
  pages={112174},
  year={2025},
  publisher={Elsevier}
}

Khan, Abid; Preanto, Sabit Ahamed; Paul, Tapon; Bijoy, Md Hasan Imam (2025), “MoringaLeafNet: A Multi-Class Leaf Disease Dataset for Precision Agriculture and Deep Learning Research”, Mendeley Data, V5, doi: 10.17632/w8sr775pjb.5